Data-driven modeling and predictive analysis are transforming research across disciplines. This session emphasizes statistical modeling, big data analytics, predictive simulations, and uncertainty quantification.
Speakers are expected to showcase applications in physics, engineering, and interdisciplinary sciences, highlighting data integration, algorithm development, and real-time predictions.
Participants will learn how to leverage data for hypothesis generation, model validation, and decision-making, gaining exposure to advanced computational tools and strategies for interpreting complex datasets.